{"title":"A Conceptual Model for the Organizational Adoption of Information System Security Innovations","authors":"M. A. Hameed, N. Arachchilage","doi":"10.4018/978-1-5225-9742-1.CH014","DOIUrl":"https://doi.org/10.4018/978-1-5225-9742-1.CH014","url":null,"abstract":"Information system (IS) security threats are still a major concern for many organizations. However, most organizations fall short in achieving a successful adoption and implementation of IS security measures. In this chapter, the authors developed a theoretical model for the adoption process of IS security innovations in organizations. The model was derived by combining four theoretical models of innovation adoption, namely diffusion of innovation theory (DOI), the technology acceptance model (TAM), the theory of planned behavior (TPB), and the technology-organisation-environment (TOE) framework. The model depicts IS security innovation adoption in organizations, as two decision proceedings. The adoption process from the initiation stage until the acquisition of innovation is considered as a decision made by organisation while the process of innovation assimilation is assumed as a result of the user acceptance of innovation within the organization.","PeriodicalId":245239,"journal":{"name":"Security, Privacy, and Forensics Issues in Big Data","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124829964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bootstrapping Urban Planning","authors":"Ankur Lohachab","doi":"10.4018/978-1-5225-9742-1.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-9742-1.CH009","url":null,"abstract":"Rapid growth of embedded devices and population density in IoT-based smart cities provides great potential for business and opportunities in urban planning. For addressing the current and future needs of living, smart cities have to revitalize the potential of big data analytics. However, a colossal amount of sensitive information invites various computational challenges. Moreover, big data generated by the IoT paradigm acquires different characteristics as compared to traditional big data because it contains heterogeneous unstructured data. Despite various challenges in big data, enterprises are trying to utilize its true potential for providing proactive applications to the citizens. In this chapter, the author finds the possibilities of the role of big data in the efficient management of smart cities. Representative applications of big data, along with advantages and disadvantages, are also discussed. By delving into the ongoing research approaches in securing and providing privacy to big data, this chapter is concluded by highlighting the open research issues in the domain.","PeriodicalId":245239,"journal":{"name":"Security, Privacy, and Forensics Issues in Big Data","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128683597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}